Bimodal UV photoacoustic and fluorescence sensor for breath analysis

V.R., Nidheesh; Mohapatra, Aswini Kumar; Nayak, Rajesh; V.K., Unnikrishnan; Kartha, Vasudevan Baskaran; Chidangil, Santhosh

doi:10.1016/j.snb.2022.133242

Sensors and Actuators B: Chemical

2023

DOI: 10.1016/j.snb.2022.133242

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Bimodal UV photoacoustic and fluorescence sensor for breath analysis

Nidheesh V.R.

Aswini Kumar Mohapatra

Rajesh Nayak

et al.

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Cited by 2 publications

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Multiwavelength Photoacoustic Breath Analysis Sensor for the Diagnosis of Lung Diseases: COPD and Asthma

V. R.,

Mohapatra,

Kartha

et al. 2023

ACS Sens.

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Breath analysis is emerging as a universal diagnostic method for clinical applications. The possibility of breath analysis is being explored vigorously using different analytical techniques. We have designed and assembled a multiwavelength UV photoacoustic spectroscopy (PAS) sensor for the said application. To optimize laser wavelength for sample excitation, photoacoustic signals from disease and normal conditions are recorded with different laser excitations (213, 266, 355, and 532 nm) on exhaled breath samples. Principal component analysis (PCA) of the PA signals has shown that 213, 266, and 355 nm laser excitations are suitable for breath analysis, with reliable descriptive statistics obtained for 266 nm laser. The study has, therefore, been extended for breath samples collected from asthma, chronic obstructive pulmonary disease (COPD), and normal subjects, using 266 nm laser excitation. PCA of the PA data shows good classification among asthma, COPD, and normal subjects. Match/No-match study performed with asthma, COPD, and normal calibration set has demonstrated the potential of using this method for diagnostic application. Sensitivity and specificity are observed as 88 and 89%, respectively. The area under the curve of the ROC curve is found to be 0.948, which justifies the diagnostic capability of the device for lung diseases. The same samples were studied using a commercial E-Nose, and the measurement outcome strongly supports the PAS results.

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Multiwavelength Photoacoustic Breath Analysis Sensor for the Diagnosis of Lung Diseases: COPD and Asthma

V. R.,

Mohapatra,

Kartha

et al. 2023

ACS Sens.

Self Cite

View full text Add to dashboard Cite

show abstract

Rational Design and Application of Breath Sensors for Healthcare Monitoring

Liu,

Lin,

Zhao

et al. 2024

ACS Sens.

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Bimodal UV photoacoustic and fluorescence sensor for breath analysis

Cited by 2 publications

References 32 publications

Multiwavelength Photoacoustic Breath Analysis Sensor for the Diagnosis of Lung Diseases: COPD and Asthma

Multiwavelength Photoacoustic Breath Analysis Sensor for the Diagnosis of Lung Diseases: COPD and Asthma

Rational Design and Application of Breath Sensors for Healthcare Monitoring

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